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Ferasman979/README.md

👋 Hi, I’m Feras

GenAI / ML / Data Engineering–focused engineer passionate about production ML systems, automation, and reliability.
🎓 Final-year B.CompSci (Data Analytics) @ Sheridan College · 📍 Oakville, ON


🔍 What I Do

  • Architect Scalable ML & Data Platforms
    Design high-volume data ingestion pipelines, lakehouse architectures, and validation workflows for RAG agents, NLP systems, and ML workloads using Spark, Delta Lake, and Databricks.

  • Productionize ML with MLOps & CI/CD
    Operationalize end-to-end ML lifecycles with MLflow, Databricks workflows, GitHub Actions, and Airflow, enabling reproducible training, automated evaluation, and governed model serving.

  • Build ML-Integrated APIs & Applications
    Develop and deploy ML-powered APIs, webhooks, and full-stack applications using Docker, Kubernetes (k3s), Azure, and GCP.

  • Infrastructure, Observability & Reliability
    Manage cloud infrastructure with Terraform (IaC) and maintain 99.9% uptime using deep observability stacks including Prometheus, Grafana, and Tempo.


Featured Projects

HR GenAI Platform

AI-powered applicant tracking and evaluation system using autonomous agents and retrieval-augmented generation.

  • Tech: Next.js, TypeScript, LangChain, Llama 3, Azure, MongoDB
  • Automated resume parsing, candidate scoring, and RAG-based evaluations
  • Implemented autonomous research agents to verify candidate claims via GitHub and portfolio analysis
  • 👉 View Project

Workforce Performance Lakehouse (Databricks)

Production-grade analytics and ML platform built on the Databricks Lakehouse architecture.

  • Tech: Databricks, Spark, Delta Lake, MLflow, Unity Catalog, Power BI
  • Implemented Medallion Architecture with optimized clustering for large-scale analytics
  • Operationalized predictive models with governed training, tracking, and deployment
  • 👉 View Project

Sports Analytics App

Real-time computer vision mobile application analyzing cricket shot mechanics.

  • Tech: YOLOv8, Flutter, Google Cloud Run
  • Deployed serverless inference pipelines for low-latency, scalable usage
  • Award-winning capstone project recognized for real-world impact

🛠 Skills & Tools

Languages: Python, SQL, JavaScript, TypeScript
ML & Data: Spark, Databricks, MLflow, Delta Lake, LangChain, RAG
Cloud & DevOps: Docker, Kubernetes, Terraform, GitHub Actions, Airflow
Observability: Prometheus, Grafana, Tempo
BI & Apps: Power BI, Streamlit, Next.js


📫 Let’s Connect

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  1. Workforce-Performance-Lakehouse Workforce-Performance-Lakehouse Public

    Jupyter Notebook 1

  2. TaimoorAleem/AICricketCoach_CapstoneProject TaimoorAleem/AICricketCoach_CapstoneProject Public

    🏆 First Place CS Capstone Award - A mobile application that allows cricket players to upload practice videos and utilizes CV to track the ball trajectory and ML to provide feedback for improvement.

    Dart 3

  3. Sales-Insights-For-Hardware-Company Sales-Insights-For-Hardware-Company Public

  4. RetailStore_Insights-Chatbot RetailStore_Insights-Chatbot Public

    A conversational analytics chatbot for querying Store Retail Sales and Inventory, powered by Google Gemini LLM, LangChain, and Streamlit. Easily ask business questions in natural language—get insta…

    Python 1

  5. OptiMulti-Video OptiMulti-Video Public

    Jupyter Notebook 1